class_docstr: Sequence Top-K accuracy. Assumes integer labels, with
  each item to be classified having a single correct class.
code: def reset(self):
      self.correct_count = 0.0
      self.total_count = 0.0
  
file_path: allennlp/allennlp/training/metrics/sequence_accuracy.py
imports: from typing import Optional
  import torch
  from allennlp.common.checks import ConfigurationError
  from allennlp.training.metrics.metric import Metric
  from allennlp.nn.util import dist_reduce_sum
label_desc: Use image node_id 4 for calling the SequenceAccuracy obj's underlying member method code with example usage: obj.reset() without return types